Towards deeper understanding and personalisation in CALL

Authors:
Galia Angelova;Albena Strupchanska;Ognyan Kalaydjiev;Milena Yankova;Svetla Boytcheva;Irena Vitanova;Preslav Nakov
Affiliations:
Bulgarian Academy of Sciences, Sofia, Bulgaria;Bulgarian Academy of Sciences, Sofia, Bulgaria;Bulgarian Academy of Sciences, Sofia, Bulgaria;Bulgarian Academy of Sciences, Sofia, Bulgaria;Sofia University "St. Kliment Ohridski", Sofia, Bulgaria;Sofia University "St. Kliment Ohridski", Sofia, Bulgaria;University of California at Berkeley
Venue:
eLearn '04 Proceedings of the Workshop on eLearning for Computational Linguistics and Computational Linguistics for eLearning
Year:
2004

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Abstract

We consider in depth the semantic analysis in learning systems as well as some information retrieval techniques applied for measuring the document similarity in eLearning. These results are obtained in a CALL project, which ended by extensive user evaluation. After several years spent in the development of CALL modules and prototypes, we think that much closer cooperation with real teaching experts is necessary, to find the proper learning niches and suitable wrappings of the language technologies, which could give birth to useful eLearning solutions.